代码搜索：closed-loop
找到约 171 项符合「closed-loop」的源代码
代码结果 171
www.eeworm.com/read/244380/12869785
m frs_rock.m
% Frequency responses of the rocket stabilization system
%
% flight time
t = input ('Enter time t = ');
% closed-loop interconnection
sim_rock
clp = starp(sim_ic,K);
%
% closed-loop frequency
www.eeworm.com/read/460712/7105744
m clcp.m
function [cl] = clcp(prob,P,G,H,F,sgn,typ)
% CLCP Computation of various closed-loop configurations.
% [CL]=CLCP(PROB,P,G,H,F,SGN) produces the corrleated
% computation of the closed-loop
www.eeworm.com/read/439271/7713274
m clcp.m
function [cl] = clcp(prob,P,G,H,F,sgn,typ)
% CLCP Computation of various closed-loop configurations.
% [CL]=CLCP(PROB,P,G,H,F,SGN) produces the corrleated
% computation of the closed-loop
www.eeworm.com/read/244381/12869678
m frs_pend.m
% Frequency responses of the closed-loop system
%
sim_pend
clp_ic = starp(pend_sm,K,6,2);
%
% singular values of the closed-loop transfer function
omega = logspace(-4,2,100);
ref_loop = sel(clp
www.eeworm.com/read/446297/7581642
pdf cia 404 ds v1.2 canopen device profile measuring devices and closed-loop (igco_404v01020002).pdf
www.eeworm.com/read/251618/12330454
txt ce019_readme.txt
Readme File for Code Example:
CE019 - Proportional Integral Derivative (PID) controllers
for Closed-loop Control Systems
www.eeworm.com/read/398157/8001617
txt ce019_readme.txt
Readme File for Code Example:
CE019 - Using Proportional Integral Derivative (PID) controllers
in Closed-loop Control Systems
www.eeworm.com/read/145158/12748492
m imstvfvvplt.m
% Plot outputs of imstvfvv.mdl
clc,close all
% -------------------- GRAPHICAL DISPLAYS ----------------------------------
figure('Position',[100 55 900 590],'Name','Closed-loop transient
www.eeworm.com/read/192078/8408254
m dlcllms.m
%DLCLLMS Delayless Closed-Loop Subband LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% N - iterations
% Sx - standard deviation of input
% B
www.eeworm.com/read/145776/12703042
m dlcllms.m
%DLCLLMS Delayless Closed-Loop Subband LMS algorithm
%
% 'ifile.mat' - input file containing:
% Nr - members of ensemble
% N - iterations
% Sx - standard deviation of input
% B